Gradient-based joint block diagonalization algorithms: application to blind separation of FIR convolutive mixtures

DOI10.1016/j.sigpro.2009.12.002zbMath1197.94054OpenAlexW1989577851MaRDI QIDQ1957755

Nadège Thirion-Moreau, Eric Moreau, Driss Aboutajdine, Hicham Ghennioui

Publication date: 27 September 2010

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2009.12.002

zbMATH Keywords

matrix decompositionsblind sources separationconvolutive mixtures of correlated sourcesjoint block-diagonalizationspatial quadratic time-frequency distributions and spectra

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (6)

An Algebraic Approach to Nonorthogonal General Joint Block Diagonalization ⋮ Computing the polyadic decomposition of nonnegative third order tensors ⋮ A Parallel Dual Matrix Method for Blind Signal Separation ⋮ Blind separation of cyclostationary sources sharing common cyclic frequencies using joint diagonalization algorithm ⋮ Preconditioned optimization algorithms solving the problem of the non unitary joint block diagonalization: application to blind separation of convolutive mixtures ⋮ A Matrix Polynomial Spectral Approach for General Joint Block Diagonalization

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